2012 Analytics courses

Unveil the power of data through our captivating Basic Data Analysis course, where curiosity meets capability. Embark on a journey of discovery, exploring the intricacies of data and information analysis. Dive deep into various data analysis methods and tools, from exploratory data analysis to qualitative data analysis. Let us ignite your passion for deciphering insights hidden within data. In this course, you'll master the fundamentals of data analysis, gaining invaluable skills applicable across diverse fields. Explore modules covering the principles of process management and strategies for driving improvement through data-driven insights. From understanding variation to presenting performance data effectively, each module equips you with practical knowledge essential for success in data analysis jobs. So, if you are looking for data analysis courses, you've landed on the right page.  Learning Outcomes: Acquire proficiency in using data analysis tools such as Pareto charts, histograms, and control charts. Develop the ability to interpret performance data and identify patterns through exploratory data analysis. Gain a comprehensive understanding of variation and strategies to manage it effectively. Apply data-driven approaches to drive continuous improvement and enhance decision-making processes. Demonstrate proficiency in structuring performance measurement systems to optimize organizational outcomes. Why buy this Basic Data Analysis Course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Certification After studying the course materials of the Basic Data Analysis there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Basic Data Analysis course for? Individuals eager to enter the field of data analysis. Professionals seeking to enhance their data analysis skills. Students interested in exploring the principles of process management. Anyone curious about leveraging data for informed decision-making. Individuals aiming to pursue data analysis jobs in various industries. Prerequisites This Basic Data Analysis does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Basic Data Analysis was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Data Analyst: £25,000 - £40,000 Per Annum Business Analyst: £30,000 - £45,000 Per Annum Financial Analyst: £30,000 - £50,000 Per Annum Market Research Analyst: £25,000 - £35,000 Per Annum Operations Analyst: £25,000 - £40,000 Per Annum Quality Assurance Analyst: £25,000 - £35,000 Per Annum Course Curriculum Basic Data Analysis Module 01: Introduction 00:02:00 Module 02: Agenda and Principles of Process Management 00:06:00 Module 03: The Voice of the Process 00:05:00 Module 04: Working as One Team for Improvement 00:04:00 Module 05: Exercise: The Voice of the Customer 00:03:00 Module 06: Tools for Data Analysis 00:07:00 Module 07: The Pareto Chart 00:03:00 Module 08: The Histogram 00:03:00 Module 09: The Run Chart 00:04:00 Module 10: Exercise: Presenting Performance Data 00:05:00 Module 11: Understanding Variation 00:06:00 Module 12: The Control Chart 00:06:00 Module 13: Control Chart Example 00:04:00 Module 14: Control Chart Special Cases 00:06:00 Module 15: Interpreting the Control Chart 00:10:00 Module 16: Control Chart Exercise 00:07:00 Module 17: Strategies to Deal with Variation 00:06:00 Module 18: Using Data to Drive Improvement 00:14:00 Module 19: A Structure for Performance Measurement 00:06:00 Module 20: Data Analysis Exercise 00:06:00 Module 21: Course Project 00:03:00 Module 22: Test your Understanding 00:17:00 Assignment Assignment - Diploma in Data Analysis Fundamentals 00:00:00

Want to become an expert NLP engineer and a data scientist? Then this is the right course for you. In this course, we will be covering complex theory, algorithms, and coding libraries in a very simple way that can be easily grasped by any beginner as well.

Register on the SQL NoSQL Big Data and Hadoop today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion. The SQL NoSQL Big Data and Hadoop is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The SQL NoSQL Big Data and Hadoop Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the SQL NoSQL Big Data and Hadoop, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Section 01: Introduction Introduction 00:07:00 Building a Data-driven Organization - Introduction 00:04:00 Data Engineering 00:06:00 Learning Environment & Course Material 00:04:00 Movielens Dataset 00:03:00 Section 02: Relational Database Systems Introduction to Relational Databases 00:09:00 SQL 00:05:00 Movielens Relational Model 00:15:00 Movielens Relational Model: Normalization vs Denormalization 00:16:00 MySQL 00:05:00 Movielens in MySQL: Database import 00:06:00 OLTP in RDBMS: CRUD Applications 00:17:00 Indexes 00:16:00 Data Warehousing 00:15:00 Analytical Processing 00:17:00 Transaction Logs 00:06:00 Relational Databases - Wrap Up 00:03:00 Section 03: Database Classification Distributed Databases 00:07:00 CAP Theorem 00:10:00 BASE 00:07:00 Other Classifications 00:07:00 Section 04: Key-Value Store Introduction to KV Stores 00:02:00 Redis 00:04:00 Install Redis 00:07:00 Time Complexity of Algorithm 00:05:00 Data Structures in Redis : Key & String 00:20:00 Data Structures in Redis II : Hash & List 00:18:00 Data structures in Redis III : Set & Sorted Set 00:21:00 Data structures in Redis IV : Geo & HyperLogLog 00:11:00 Data structures in Redis V : Pubsub & Transaction 00:08:00 Modelling Movielens in Redis 00:11:00 Redis Example in Application 00:29:00 KV Stores: Wrap Up 00:02:00 Section 05: Document-Oriented Databases Introduction to Document-Oriented Databases 00:05:00 MongoDB 00:04:00 MongoDB Installation 00:02:00 Movielens in MongoDB 00:13:00 Movielens in MongoDB: Normalization vs Denormalization 00:11:00 Movielens in MongoDB: Implementation 00:10:00 CRUD Operations in MongoDB 00:13:00 Indexes 00:16:00 MongoDB Aggregation Query - MapReduce function 00:09:00 MongoDB Aggregation Query - Aggregation Framework 00:16:00 Demo: MySQL vs MongoDB. Modeling with Spark 00:02:00 Document Stores: Wrap Up 00:03:00 Section 06: Search Engines Introduction to Search Engine Stores 00:05:00 Elasticsearch 00:09:00 Basic Terms Concepts and Description 00:13:00 Movielens in Elastisearch 00:12:00 CRUD in Elasticsearch 00:15:00 Search Queries in Elasticsearch 00:23:00 Aggregation Queries in Elasticsearch 00:23:00 The Elastic Stack (ELK) 00:12:00 Use case: UFO Sighting in ElasticSearch 00:29:00 Search Engines: Wrap Up 00:04:00 Section 07: Wide Column Store Introduction to Columnar databases 00:06:00 HBase 00:07:00 HBase Architecture 00:09:00 HBase Installation 00:09:00 Apache Zookeeper 00:06:00 Movielens Data in HBase 00:17:00 Performing CRUD in HBase 00:24:00 SQL on HBase - Apache Phoenix 00:14:00 SQL on HBase - Apache Phoenix - Movielens 00:10:00 Demo : GeoLife GPS Trajectories 00:02:00 Wide Column Store: Wrap Up 00:04:00 Section 08: Time Series Databases Introduction to Time Series 00:09:00 InfluxDB 00:03:00 InfluxDB Installation 00:07:00 InfluxDB Data Model 00:07:00 Data manipulation in InfluxDB 00:17:00 TICK Stack I 00:12:00 TICK Stack II 00:23:00 Time Series Databases: Wrap Up 00:04:00 Section 09: Graph Databases Introduction to Graph Databases 00:05:00 Modelling in Graph 00:14:00 Modelling Movielens as a Graph 00:10:00 Neo4J 00:04:00 Neo4J installation 00:08:00 Cypher 00:12:00 Cypher II 00:19:00 Movielens in Neo4J: Data Import 00:17:00 Movielens in Neo4J: Spring Application 00:12:00 Data Analysis in Graph Databases 00:05:00 Examples of Graph Algorithms in Neo4J 00:18:00 Graph Databases: Wrap Up 00:07:00 Section 10: Hadoop Platform Introduction to Big Data With Apache Hadoop 00:06:00 Big Data Storage in Hadoop (HDFS) 00:16:00 Big Data Processing : YARN 00:11:00 Installation 00:13:00 Data Processing in Hadoop (MapReduce) 00:14:00 Examples in MapReduce 00:25:00 Data Processing in Hadoop (Pig) 00:12:00 Examples in Pig 00:21:00 Data Processing in Hadoop (Spark) 00:23:00 Examples in Spark 00:23:00 Data Analytics with Apache Spark 00:09:00 Data Compression 00:06:00 Data serialization and storage formats 00:20:00 Hadoop: Wrap Up 00:07:00 Section 11: Big Data SQL Engines Introduction Big Data SQL Engines 00:03:00 Apache Hive 00:10:00 Apache Hive : Demonstration 00:20:00 MPP SQL-on-Hadoop: Introduction 00:03:00 Impala 00:06:00 Impala : Demonstration 00:18:00 PrestoDB 00:13:00 PrestoDB : Demonstration 00:14:00 SQL-on-Hadoop: Wrap Up 00:02:00 Section 12: Distributed Commit Log Data Architectures 00:05:00 Introduction to Distributed Commit Logs 00:07:00 Apache Kafka 00:03:00 Confluent Platform Installation 00:10:00 Data Modeling in Kafka I 00:13:00 Data Modeling in Kafka II 00:15:00 Data Generation for Testing 00:09:00 Use case: Toll fee Collection 00:04:00 Stream processing 00:11:00 Stream Processing II with Stream + Connect APIs 00:19:00 Example: Kafka Streams 00:15:00 KSQL : Streaming Processing in SQL 00:04:00 KSQL: Example 00:14:00 Demonstration: NYC Taxi and Fares 00:01:00 Streaming: Wrap Up 00:02:00 Section 13: Summary Database Polyglot 00:04:00 Extending your knowledge 00:08:00 Data Visualization 00:11:00 Building a Data-driven Organization - Conclusion 00:07:00 Conclusion 00:03:00 Resources Resources - SQL NoSQL Big Data And Hadoop 00:00:00

Register on the The Ultimate SEO Link Building Mega Course today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion. The The Ultimate SEO Link Building Mega Course course is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The The Ultimate SEO Link Building Mega Course course Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the The Ultimate SEO Link Building Mega Course course, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Module 01: Basics SEO Introduction 00:01:00 What Are Backlinks 00:04:00 Less More 00:05:00 Structural Overview 00:05:00 Content & Quality 00:03:00 Quality via Relevance 00:04:00 Anchor Diversity 00:07:00 Vicinity 00:07:00 SEO Beyond Link Building 00:03:00 Module 02: Types of Link You Can Build The 20 Types of Backlinks 00:11:00 Article Links 00:04:00 Optimize an Article 00:20:00 Optimize Readability 00:08:00 Manually Hyperlinking Anchor Text 00:02:00 Spintax & Link Tiers 00:05:00 Blog Commenting Links 00:06:00 Directory Links 00:07:00 Document Sharing Links 00:09:00 Exploit Links 00:05:00 Forum Links 00:06:00 Guest Book Links 00:04:00 Article Guest Posts 00:03:00 Image Comment Links 00:04:00 Indexer Links 00:04:00 Micro Blogging Links 00:04:00 Pingback Links 00:03:00 Referrer Links 00:05:00 RSS Feed Links 00:05:00 Social Bookmark Links 00:06:00 Social Network Links 00:06:00 Trackback Links 00:01:00 URL Shortener Links 00:05:00 Video Links 00:12:00 Web 2.0 Links 00:05:00 Wiki Links 00:05:00 Module 03: Keyword Research Difference between Short and Long Tail Keywords 00:06:00 Keyword Planner 00:05:00 Keyword Planner Sorting 00:10:00 Free Keyword Search Volume Tool 00:01:00 What Are Local Keywords 00:02:00 Research vs Buyer Keywords 00:06:00 Google Auto Complete Search Engine 00:02:00 Long Tail Pro Keyword Research 00:10:00 KW Finder Keyword Research 00:05:00 How to Deliver Keyword Research as a Freelancer 00:10:00 Module 04: On Page SEO Optimization Optimize an Article 00:20:00 Optimize Readability 00:08:00 WordPress Permalink Settings 00:01:00 WordPress Yoast SEO Optimization Setup 00:03:00 Fastest Cache Settings (Exampled in WordPress) 00:05:00 Yoast Real-Time Analysis for Any Site 00:02:00 All in One SEO Plugin 00:03:00 WordPress Cache Speed Test 00:01:00 Real-Time Ranking Case Study 00:08:00 Module 05: Local SEO Local SEO vs Other SEOs 00:08:00 The 4 Pillars of Google Maps Ranking 00:05:00 Sign In to Google+ 00:01:00 Keyword Planner & Sorting Breakdown 00:15:00 Google My Business Registration & Optimization 00:12:00 Descriptions Have Been Phased Out Currently 00:01:00 Google Review Management & Marketing 00:19:00 Google Review Management & Marketing 00:19:00 Additional Business Sites for Reviews 00:12:00 Google My Business 00:06:00 Citation SEO 00:09:00 What Are Citations 00:08:00 An Example Citation Setup 00:03:00 WhiteSpark for Citation Analysis 00:03:00 Outsource Local Citations 00:05:00 The Difference in Citation Websites 00:05:00 Module 06: Image SEO Traditional SEO vs Image SEO 00:05:00 What is EXIF Data and How to Remove It 00:08:00 Image File Size Optimization 00:11:00 JPG vs PNG 00:02:00 GIF Images 00:02:00 Captions for Conversion Optimization 00:06:00 Name and ALT SEO 00:05:00 Create a Sitemap for Images 00:04:00 The Goal of Image SEO 00:04:00 Google Image Off-Page SEO 00:07:00 Module 07: Edu and GOV Link Building Strategy What are EDU Links? 00:06:00 Google Aggregate Ranking Algorithm 00:11:00 Posting Comments on EDU & GOV Blogs 00:10:00 Creating Profiles at EDU & GOV Websites 00:05:00 Scholarship Backlinks from EDU & GOV Websites 00:07:00 Resources for EDU & GOV Websites 00:04:00 Resources II 00:01:00 Student Groups 00:06:00 Module 08: Video SEO (Google) 2 Types of Video SEO 00:08:00 When to Host on YouTube and Why 00:07:00 Self Hosting Video Solution 00:05:00 Video SEO for Google 00:07:00 Keyword Planner for Organic & Video Rankings 00:02:00 Self Hosting means Self Promoting 00:03:00 Module 09: Video SEO (YouTube) YouTube Black vs White 00:05:00 YouTube Auto Suggest for Keyword Research 00:08:00 YouTube Analytics 00:03:00 YouTube Video SEO Optimizations 00:05:00 Find YouTube Tags 00:04:00 VidIQ Extension 00:07:00 Video Sitemap SEO 00:07:00 YouTube Video Layout Blueprint 00:11:00 YouTube Comments 00:02:00 The Secret of Subscribers in SEO 00:03:00 Create a Playlist for Hard SEO Terms 00:05:00 Tubular and Other Tool Comparisons 00:04:00 YTCockpit for Keyword Research & Tracking 00:03:00 YouTube AdSense & Other Monetizations 00:10:00 Module 10: Expired Domain Link Building How to Write the 30X Redirects 00:06:00 Types of 30X Redirects 00:03:00 How to Write the 30X Redirects 00:06:00 Redirection of SEO Timeline 00:02:00 Why You Can Lose Redirect SEO Link Juice 00:05:00 How Long Should I Keep These Redirects 00:02:00 Redirects with Google Penalties 00:04:00 Your First Redirect is Called Canonicalization 00:03:00 Why Secure Your Site 00:02:00 How Much SEO Juice is Passed in Google 00:04:00 How Much SEO Juice is Passed in Google II 00:02:00 3 Methods to Use Expired Domains 00:09:00 DomCop Overview 00:16:00 FreshDrop Overview 00:17:00 Module 11: Software Overview Link Building Tiers 00:08:00 Tier 1 Links & Software Suggestion 00:04:00 Tier 2 Links & Software Suggestion 00:06:00 Tier 3 Links & Software Suggestion 00:09:00 Module 12: Screaming Frog SEO Software Walkthrough Starting Your SEO Audit 00:48:00 SEO Audit Software Walkthrough 01:02:00

This beginner's level course on Pandas acquaints you to the data analysis fundamentals using Pandas library and working with Pandas primary data structures, Series and DataFrame. Learn all about data input using indexing and filtering, data preprocessing, and handle missing values and duplicate rows to transform your data more efficiently with the help of this hands-on course.

Explore the intricate realm of financial integrity with this Anti-Money Laundering and Financial Crime Course. Dive into essential concepts and strategies to prevent money laundering, fraud, and financial misconduct. Gain insights into regulatory compliance, risk assessment, and detection techniques. Elevate your understanding of safeguarding financial systems and businesses against criminal activities. This course is used by regulated firms globally.

Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. Course Curriculum Data Analysis Welcome 00:02:00 Agenda and Principles of Process Management 00:06:00 The Voice of the Process 00:04:00 Working as One Team for Improvement 00:04:00 Exercise: The Voice of the Customer 00:03:00 Tools for Data Analysis 00:07:00 The Pareto Chart 00:02:00 The Histogram 00:02:00 The Run Chart 00:03:00 Exercise: Presenting Performance Data 00:04:00 Understanding Variation 00:06:00 The Control Chart 00:06:00 Control Chart Example 00:04:00 Control Chart Special Cases 00:06:00 Interpreting the Control Chart 00:09:00 Control Chart Exercise 00:07:00 Strategies to Deal with Variation 00:05:00 Using Data to Drive Improvement 00:13:00 A Structure for Performance Measurement 00:06:00 Data Analysis Exercise 00:05:00 Course Project 00:03:00 Test your Understanding 00:16:00 Assessment Assessment - Data Analysis Diploma 00:10:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

The aim of the course Stock Analysis and Valuation is to provide students with a deep understanding of how to evaluate the financial health and value of publicly traded companies.After the successful completion of the course, you will be able to learn about the following, Understand the valuation of Stocks using Macro and Micro Valuations. Understand the use of Absolute Valuation or Discounted Cash Flow methods. Learn concepts in Stock Portfolio Management. The course "Stock Analysis and Valuation" is designed to provide students with a comprehensive understanding of the techniques and methods used in analyzing and valuing publicly traded companies. The course will cover the fundamental principles of financial analysis, competitive analysis, and valuation, and will provide students with practical skills in financial modeling, forecasting, and valuation. The course "Stock Analysis and Valuation" is designed to provide students with a comprehensive understanding of the techniques and methods used in analyzing and valuing publicly traded companies. The course will cover the fundamental principles of financial analysis, competitive analysis, and valuation, and will provide students with practical skills in financial modeling, forecasting, and valuation. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Stock Analysis and Valuation Self-paced pre-recorded learning content on this topic. Stock Analysis and Valustion Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. CEO, Director, Manager, Supervisor Equity Analyst Investment Analyst Financial Analyst Valuation Specialist Portfolio Manager Research Analyst Fund Manager Asset Manager Investment Banker Private Equity Analyst Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

The course helps you learn Snowflake from scratch and explore a few of its important features. You will build automated pipelines with Snowflake and use the AWS cloud with Snowflake as a data warehouse. You will also explore Snowpark to be worked on the data pipelines.

This ultimate course to kickstart your Python journey from scratch. This comprehensive course covers all the essential concepts of Python, providing explanations, examples, and practical implementations. Designed with beginners in mind, our goal is to help you learn and master Python by building a variety of projects.